Search results for: the-unified-learning-model

The Unified Learning Model

Author : Duane F. Shell
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This is a book about how humans learn. Our focus is on classroom learning although the principles are, as the name of this book indicates, universal. We are concerned with learning from pre-school to post-graduate. We are concerned with most bu- ness, industrial and military training. We do not address how infants learn how to speak or walk, or how grown-ups improve their tennis swing. We do address all learning described by the word “thought”, as well as anything we might try to teach, or instruct in formal educational settings. In education, the words theory and model imply conjecture. In science, these same words imply something that is a testable explanation of phenomena able to predict outcomes of experiments. This book presents a model of learning that the authors offer in the sense of scientists rather than educators. Conjecture implies that information is incomplete, and so it surely is with human learning. On the other hand, we assert that more than enough is known to sustain a “scienti?c” model of learning. This book is not a review of the literature. Instead, it is a synthesis. Scholars and many teachers likely have heard much if not most or even all of the information we use to develop the uni?ed learning model. What you have not read before is a model putting the information together in just this way; this is the ?rst one.

A Machine Learning Model to Find a Near optimal Set of Closure Relationships for the Multiphase Unified Model

Author : Sara Mohammadi
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Stream Processing with Apache Spark

Author : Gerard Maas
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Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You’ll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs. Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API. Learn fundamental stream processing concepts and examine different streaming architectures Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail Create and operate streaming jobs and applications with Spark Streaming; integrate Spark Streaming with other Spark APIs Learn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithms Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams

International Journal of Educational Reform

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An Active symbol Connectionist Model of Concept Representation and Concept Learning

Author : Mark Weaver
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Computational Models of Argument

Author : H. Prakken
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The investigation of computational models of argument is a rich and fascinating interdisciplinary research field with two ultimate aims: the theoretical goal of understanding argumentation as a cognitive phenomenon by modeling it in computer programs, and the practical goal of supporting the development of computer-based systems able to engage in argumentation-related activities with human users or among themselves. The biennial International Conferences on Computational Models of Argument (COMMA) provide a dedicated forum for the presentation and discussion of the latest advancements in the field, and cover both basic research and innovative applications. This book presents the proceedings of COMMA 2020. Due to the Covid-19 pandemic, COMMA 2020 was held as an online event on the originally scheduled dates of 8 -11 September 2020, organised by the University of Perugia, Italy. The book includes 28 full papers and 13 short papers selected from a total of 78 submissions, the abstracts of 3 invited talks and 13 demonstration abstracts. The interdisciplinary nature of the field is reflected, and contributions cover both theory and practice. Theoretical contributions include new formal models, the study of formal or computational properties of models, designs for implemented systems and experimental research. Practical papers include applications to medicine, law and criminal investigation, chatbots and online product reviews. The argument-mining trend from previous COMMA’s is continued, while an emerging trend this year is the use of argumentation for explainable AI. The book provided an overview of the latest work on computational models of argument, and will be of interest to all those working in the field.

Models of Language Use and Language Learning in the Theory of Language Didactics

Author : Maria Dakowska
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Resources in Education

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Modeling Concept Acquisition in the Context of a Unified Theory of Cognition

Author : Craig S. Miller
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For replicating human behavior, SCA mirrors psychological data along the dimensions of response time, accuracy and learning rate as a function of various instance and category structures including typicality, linear boundedness, category level and definitional complexity. For its role within a unified theory of cognition, SCA's learning principles are composed from the basic processing mechanisms posited by Soar, a candidate theory."

The 1997 IEEE International Conference on Neural Networks June 9 12 1997 Westin Galleria Hotel Houston Texas USA

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A Learning Model of Information Systems

Author : Dennis Frank Galletta
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The Unified Modeling Language

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Supported Education Psychiatric Rehabilitation

Author : Carol T. Mowbray
File Size : 56.91 MB
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Machine Learning

Author : Lawrence Birnbaum
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The proceedings of the Eighth International Workshop (ML91) held at Northwestern U., Evanston, Illinois, in June 1991. All papers contain new work, new results, or major extensions to prior work. Topics include automated knowledge acquisition, computational models of human learning, constructive ind

The Science Teacher

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Dissertation Abstracts International

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Decision Theoretic Generalizations of the PAC Learning Model

Author : David Haussler
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We look at the sample size needed for learning in this more general model, and describe upper bounds on it using the metric dimension of the hypothesis space. This is primarily a survey paper, intended as an introduction to these ideas for those not already familiar with statistical decision theory."

The Unified Modeling Language User Guide

Author : Grady Booch
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The first of two UML works written by the creators of UML, this book introduces the core 80 percent of UML, approaching it in a layered fashion and providing numerous examples of its application.

Meditation a Multistage Learning Model

Author : Douglas Neal Day
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Cognitive and Emotional Processes in Web based Education

Author : Nikos Tsianos
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"This book presents theories and practical frameworks to assist educators and trainers in developing e-learning applications"--Provided by publisher.